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  • Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

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Joydeep Bhattacharjee
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Practical Machine Learning with Rust: Creating Intelligent Applications in Rust 1st ed. Edition

by Joydeep Bhattacharjee (Author)
3.5 out of 5 stars (13)
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Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.

After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy.

What You Will Learn

  • Write machine learning algorithms in Rust
  • Use Rust libraries for different tasks in machine learning
  • Create concise Rust packages for your machine learning applications
  • Implement NLP and computer vision in Rust
  • Deploy your code in the cloud and on bare metal servers

Who This Book Is For

Machine learning engineers and software engineers interested in building machine learning applications in Rust.
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Previous slide of product details
  1. ISBN-10
    1484251202
  2. ISBN-13
    978-1484251201
  3. Edition
    1st ed.
  4. Publication date
    December 11, 2019
  5. Language
    English
  6. Dimensions
    6.1 x 0.84 x 9.25 inches
  7. Print length
    369 pages
Next slide of product details

Editorial Reviews

From the Back Cover

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.

After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy.

You will:

  • Write machine learning algorithms in Rust
  • UseRust libraries for different tasks in machine learning
  • Create concise Rust packages for your machine learning applications
  • Implement NLP and computer vision in Rust
  • Deploy your code in the cloud and on bare metal servers

About the Author

Joydeep Bhattacharjee is a machine learning engineer. He likes creating software tools and processes with a focus on clean code. He is a huge believer in tech and the ability of tech to move the world forward. His expertise includes data exploration, statistical modeling, machine learning algorithms, and data visualization. His is currently working at Nineleaps as a principal engineer.

Product details

  • Publisher ‏ : ‎ Apress
  • Publication date ‏ : ‎ December 11, 2019
  • Edition ‏ : ‎ 1st ed.
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 369 pages
  • ISBN-10 ‏ : ‎ 1484251202
  • ISBN-13 ‏ : ‎ 978-1484251201
  • Item Weight ‏ : ‎ 1.15 pounds
  • Dimensions ‏ : ‎ 6.1 x 0.84 x 9.25 inches
  • Best Sellers Rank: #4,549,059 in Books (See Top 100 in Books)
  • Customer Reviews:
    3.5 out of 5 stars (13)

About the author

Follow authors to get new release updates, plus improved recommendations.
Joydeep Bhattacharjee

Joydeep Bhattacharjee

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Full content visible, double tap to read brief content.

Joydeep Bhattacharjee is a machine learning engineer and author of the book "FastText Quick Start Guide". The book describes a practical approach to using fasttext in your industrial text analytics platform.

Joydeep has many years of experience coding in Python and also teaches and gives talks and seminars on machine learning, NLP and python. Joydeep loves to write and talk about data science, machine learning, and Python, and he is very motivated to help people developing data-driven solutions without necessarily requiring a machine learning background.

In his free time, Joydeep loves to contribute to open source project using Github, loves to read, travel and spend time with his family.

Customer reviews

3.5 out of 5 stars
13 global ratings

Top reviews from the United States

  • G. Palmer
    2.0 out of 5 stars Not very good...
    Reviewed in the United States on March 10, 2021
    Format: Paperback
    This is the kind of book that in 1.6 describes a rust variable and in 2.4 says things like "ordinary least squares regression is a method where a linear model with coefficients w = (w1, w2, w3, .. wn) is optimized to minimize the residual sum of squares between the observed responses in the dataset and the responses predicted by the linear approximation." Who is the audience for this?
    3 people found this helpful
    Helpful
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  • V. B. Rao
    2.0 out of 5 stars Typos and spelling errors
    Reviewed in the United States on March 4, 2022
    Format: Kindle
    Some sentences look very casual. And there are typos. "thorough an error" - where "throw an error" was meant. A rush job.
    One person found this helpful
    Helpful
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  • Patrick Gerbes
    2.0 out of 5 stars Content Is Shallow and Poorly Written: Not Written by an Expert
    Reviewed in the United States on March 15, 2021
    Format: Paperback
    I am a data scientist with over a decade of experience building and deploying machine learning models in production environments. I recently took up learning Rust and had hoped this book, given my background, would help me pick up the language faster. Unfortunately this was not the case.
    3 people found this helpful
    Helpful
     Report

Top reviews from other countries

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  • たんす
    5.0 out of 5 stars RustでのML
    Reviewed in Japan on July 30, 2021
    Format: KindleVerified Purchase
    Python等である程度書けるが、Rustで同じことしてみたい人向けだと思います。アルゴリズムの説明にはあまり時間を掛けていません。ライブラリの紹介とそれをRustでどう使うかに注力されています。

    Rust文法の説明は最初にちょっとあるだけなので、サンプルコードで使われる全てに概念はカバーしていません。分からない所はRust公式のthe bookをつまみ食いする必要があります。
    Report
  • Iannis McCluskey
    1.0 out of 5 stars Really disappointing
    Reviewed in France on August 9, 2024
    Format: PaperbackVerified Purchase
    I was really looking forward to reading this book. When buying it, I decided to ignore a bad comment saying it was mostly superficial. Sadly, that comment was right. That book explains barely anything. And I'm honestly p***ed. I ended up deciding to simply read the Github repository and try to understand what is what out of that. Because reading the book teaches me nothing. I really thought Apress was a guarantee of quality. In this case at least, it's not.
    Report
  • Baron
    1.0 out of 5 stars Sehr schwach, keine Kaufempfehlung
    Reviewed in Germany on November 29, 2021
    Format: PaperbackVerified Purchase
    Das Buch ist sehr oberflächlich, deckt weder mathematisch noch per Programm-Code inhalte sauber ab. Fühle mir hier ein wenig veräppelt..
    Die Rust-books decken hier meines Erachtens bereits wesentlich mehr ab.

    Ich versuche das Buch in jedem Fall zurückzusenden.
    Report
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